What are the hardware requirements for Deep Reasoning Llama 3.2 COT 3B?

Deep Reasoning Llama 3.2 COT 3B requires approximately 6.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deep Reasoning Llama 3.2 COT 3B and how large is it?

Deep Reasoning Llama 3.2 COT 3B is developed by DavidAU, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Deep Reasoning Llama 3.2 COT 3B?

Deep Reasoning Llama 3.2 COT 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deep Reasoning Llama 3.2 COT 3B by DavidAU — VRAM 6.4GB, 128K context

Name: Deep Reasoning Llama 3.2 COT 3B
Author: DavidAU

Deep Reasoning Llama 3.2 COT 3B is an open-source language model by DavidAU. Features: 3b LLM, VRAM: 6.4GB, Context: 128K, LLM Explorer Score: 0.17.

128k context Autotrain compatible Base model:ericflo/llama-3.2-3... Base model:finetune:ericflo/ll... Conversational Cot Deepseek Endpoints compatible Fine tune Llama Llama 3.2 Llama-3 Llama-3.2 Reasoning Region:us Safetensors Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-COT-3B

Deep Reasoning Llama 3.2 COT 3B Parameters and Internals

LLM Name	Deep Reasoning Llama 3.2 COT 3B
Repository 🤗	https://huggingface.co/DavidAU/Deep-Reasoning-Llama-3.2-COT-3B
Base Model(s)	ericflo/Llama-3.2-3B-COT ericflo/Llama-3.2-3B-COT
Model Size	3b
Required VRAM	6.4 GB
Updated	2025-09-20
Maintainer	DavidAU
Model Type	llama
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Deep Reasoning Llama 3.2 COT 3B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Deep Reasoning Llama 3.2 COT 3B

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Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
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Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	7	0
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
G9v3 3B	128K / 6 GB	2670	31

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Deep-Reasoning-Llama-3.2-COT-3B.